------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\micha\OneDrive\Documents\Heaney_MFRJ_Code2022-04-14.log
  log type:  text
 opened on:  14 Apr 2022, 22:53:28

. 
. * Michael T. Heaney
. * March for Racial Justice (MFRJ), 2017
. * April 14, 2022
. 
. * Generate Survey Weights for 2017
. 
. generate weight = 1.0

. 
. * Weights for Event 12: March for Racial Justice, Washington, DC, 2017
. 
. replace weight  = 0.949587294 if EventNumber==12&Year==2017&sex==0&rwhite==.
(0 real changes made)

. replace weight  = 0.940169437 if EventNumber==12&Year==2017&sex==1&rwhite==.
(0 real changes made)

. replace weight  = 1.129852744 if EventNumber==12&Year==2017&sex==.&rnative==1
(0 real changes made)

. replace weight  = 0.996928892 if EventNumber==12&Year==2017&sex==.&rwhite==1
(2 real changes made)

. replace weight  = 1.129852744 if EventNumber==12&Year==2017&sex==.&rblack==1
(3 real changes made)

. replace weight  = 1.016867470 if EventNumber==12&Year==2017&sex==.&rasian==1
(0 real changes made)

. replace weight  = 0.932128514 if EventNumber==12&Year==2017&sex==.&rlatino==1
(1 real change made)

. replace weight  = 0.847389558 if EventNumber==12&Year==2017&sex==.&rother==1
(1 real change made)

. replace weight  = 1.694779116 if EventNumber==12&Year==2017&rnative==1&sex==0
(1 real change made)

. replace weight  = 1.151580682 if EventNumber==12&Year==2017&rwhite==1&sex==0
(39 real changes made)

. replace weight  = 1.210556512 if EventNumber==12&Year==2017&rblack==1&sex==0
(14 real changes made)

. replace weight  = 1.186345382 if EventNumber==12&Year==2017&rasian==1&sex==0
(5 real changes made)

. replace weight  = 1.694779116 if EventNumber==12&Year==2017&rlatino==1&sex==0
(1 real change made)

. replace weight  = 0.847389558 if EventNumber==12&Year==2017&rother==1&sex==0
(2 real changes made)

. replace weight  = 0.847389558 if EventNumber==12&Year==2017&rnative==1&sex==1
(2 real changes made)

. replace weight  = 0.934749307 if EventNumber==12&Year==2017&rwhite==1&sex==1
(97 real changes made)

. replace weight  = 1.070386810 if EventNumber==12&Year==2017&rblack==1&sex==1
(19 real changes made)

. replace weight  = 0.847389558 if EventNumber==12&Year==2017&rasian==1&sex==1
(5 real changes made)

. replace weight  = 0.847389558 if EventNumber==12&Year==2017&rlatino==1&sex==1
(8 real changes made)

. replace weight  = 0.847389558 if EventNumber==12&Year==2017&rother==1&sex==1
(4 real changes made)

. 
. * Weights for Event 13: March for Racial Justice, New York, NY, 2017
. 
. replace weight  = 1.076998051 if EventNumber==12&Year==2017&sex==0&rwhite==.
(0 real changes made)

. replace weight  = 1.000905797 if EventNumber==12&Year==2017&sex==1&rwhite==.
(0 real changes made)

. replace weight  = 0.787037037 if EventNumber==12&Year==2017&sex==.&rnative==1
(0 real changes made)

. replace weight  = 0.987248213 if EventNumber==12&Year==2017&sex==.&rwhite==1
(2 real changes made)

. replace weight  = 1.731481481 if EventNumber==12&Year==2017&sex==.&rblack==1
(3 real changes made)

. replace weight  = 1.001683502 if EventNumber==12&Year==2017&sex==.&rasian==1
(0 real changes made)

. replace weight  = 1.001683502 if EventNumber==12&Year==2017&sex==.&rlatino==1
(1 real change made)

. replace weight  = 0.899470899 if EventNumber==12&Year==2017&sex==.&rother==1
(1 real change made)

. replace weight  = 0.787037037 if EventNumber==12&Year==2017&rnative==1&sex==0
(1 real change made)

. replace weight  = 1.093106996 if EventNumber==12&Year==2017&rwhite==1&sex==0
(39 real changes made)

. replace weight  = 1.180555556 if EventNumber==12&Year==2017&rblack==1&sex==0
(14 real changes made)

. replace weight  = 0.787037037 if EventNumber==12&Year==2017&rasian==1&sex==0
(5 real changes made)

. replace weight  = 1.180555556 if EventNumber==12&Year==2017&rlatino==1&sex==0
(1 real change made)

. replace weight  = 0.899470899 if EventNumber==12&Year==2017&rother==1&sex==0
(2 real changes made)

. replace weight  = 0.787037037 if EventNumber==12&Year==2017&rnative==1&sex==1
(2 real changes made)

. replace weight  = 0.946571572 if EventNumber==12&Year==2017&rwhite==1&sex==1
(97 real changes made)

. replace weight  = 1.311728395 if EventNumber==12&Year==2017&rblack==1&sex==1
(19 real changes made)

. replace weight  = 1.259259259 if EventNumber==12&Year==2017&rasian==1&sex==1
(5 real changes made)

. replace weight  = 0.944444444 if EventNumber==12&Year==2017&rlatino==1&sex==1
(9 real changes made)

. replace weight  = 0.899470899 if EventNumber==12&Year==2017&rother==1&sex==1
(5 real changes made)

. 
. * Weights for Event 14: March for Racial Justice, Providence, RI, 2017
. 
. replace weight  = 1.152027027 if EventNumber==12&Year==2017&sex==0&rwhite==.
(0 real changes made)

. replace weight  = 0.955598456 if EventNumber==12&Year==2017&sex==1&rwhite==.
(0 real changes made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&sex==.&rnative==1
(0 real changes made)

. replace weight  = 0.914760915 if EventNumber==12&Year==2017&sex==.&rwhite==1
(2 real changes made)

. replace weight  = 1.911196911 if EventNumber==12&Year==2017&sex==.&rblack==1
(3 real changes made)

. replace weight  = 1.486486486 if EventNumber==12&Year==2017&sex==.&rasian==1
(0 real changes made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&sex==.&rlatino==1
(1 real change made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&sex==.&rother==1
(1 real change made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&rnative==1&sex==0
(1 real change made)

. replace weight  = 1.005564388 if EventNumber==12&Year==2017&rwhite==1&sex==0
(39 real changes made)

. replace weight  = 2.229729730 if EventNumber==12&Year==2017&rblack==1&sex==0
(14 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rasian==1&sex==0
(5 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rlatino==1&sex==0
(1 real change made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&rother==1&sex==0
(2 real changes made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&rnative==1&sex==1
(2 real changes made)

. replace weight  = 0.849420849 if EventNumber==12&Year==2017&rwhite==1&sex==1
(97 real changes made)

. replace weight  = 1.486486486 if EventNumber==12&Year==2017&rblack==1&sex==1
(19 real changes made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&rasian==1&sex==1
(5 real changes made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&rlatino==1&sex==1
(8 real changes made)

. replace weight  = 0.743243243 if EventNumber==12&Year==2017&rother==1&sex==1
(4 real changes made)

. 
. * Weights for Event 15: March for Racial Justice, Tallahassee, FL, 2017
. 
. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==0&rwhite==.
(0 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==1&rwhite==.
(0 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==.&rnative==1
(0 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==.&rwhite==1
(2 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==.&rblack==1
(2 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==.&rasian==1
(0 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==.&rlatino==1
(1 real change made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&sex==.&rother==1
(1 real change made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rnative==1&sex==0
(1 real change made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rwhite==1&sex==0
(38 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rblack==1&sex==0
(12 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rasian==1&sex==0
(0 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rlatino==1&sex==0
(0 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rother==1&sex==0
(2 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rnative==1&sex==1
(2 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rwhite==1&sex==1
(97 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rblack==1&sex==1
(15 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rasian==1&sex==1
(5 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rlatino==1&sex==1
(7 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rother==1&sex==1
(2 real changes made)

. 
. * Weights for Event 16: March for Racial Justice, Los Angeles, CA, 2017
. 
. replace weight  = 1.102040816 if EventNumber==12&Year==2017&sex==0&rwhite==.
(0 real changes made)

. replace weight  = 0.983193277 if EventNumber==12&Year==2017&sex==1&rwhite==.
(0 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&sex==.&rnative==1
(0 real changes made)

. replace weight  = 1.054945055 if EventNumber==12&Year==2017&sex==.&rwhite==1
(2 real changes made)

. replace weight  = 1.186813187 if EventNumber==12&Year==2017&sex==.&rblack==1
(3 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&sex==.&rasian==1
(0 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&sex==.&rlatino==1
(1 real change made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&sex==.&rother==1
(1 real change made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rnative==1&sex==0
(1 real change made)

. replace weight  = 1.178571429 if EventNumber==12&Year==2017&rwhite==1&sex==0
(39 real changes made)

. replace weight  = 1.142857143 if EventNumber==12&Year==2017&rblack==1&sex==0
(14 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rasian==1&sex==0
(5 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rlatino==1&sex==0
(1 real change made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rother==1&sex==0
(2 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rnative==1&sex==1
(2 real changes made)

. replace weight  = 1.000000000 if EventNumber==12&Year==2017&rwhite==1&sex==1
(0 real changes made)

. replace weight  = 1.028571429 if EventNumber==12&Year==2017&rblack==1&sex==1
(19 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rasian==1&sex==1
(5 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rlatino==1&sex==1
(8 real changes made)

. replace weight  = 0.857142857 if EventNumber==12&Year==2017&rother==1&sex==1
(4 real changes made)

. 
. 
. * Event Dummy Variables
. 
. generate Event12 = 1 if EventNumber == 12&Year==2017 
(283 missing values generated)

. replace Event12 = 0 if EventNumber != 12|Year==2018
(283 real changes made)

. 
. * Recode Variables
. 
. generate female = 1 if sex == 1
(210 missing values generated)

. replace female = 0 if sex == 0
(152 real changes made)

. replace female = 0 if sex == 2
(8 real changes made)

. 
. recode inc (0=0) (1=7.5) (2=20) (3=37.5) (4=62.5) (5=87.5) (6=112.5) (7=137.5) (8=250) (9=450), gen(income)
(422 differences between inc and income)

. 
. generate logdistance = log(distance) if distance >= 1
(65 missing values generated)

. replace logdistance = 0 if distance < 1
(0 real changes made)

. 
. recode ideo (9=1) (8=2) (7=3) (6=4) (5=5) (4=6) (3=7) (2=8) (1=9) (10=.), gen(r_ideo)
(426 differences between ideo and r_ideo)

. 
. recode pid (1=3) (2=2) (3=1) (4=0) (5=1) (6=2) (7=3) (8=.), gen(pid_folded)
(452 differences between pid and pid_folded)

. 
. recode aidimp (1=4) (2=3) (3=2) (4=1) (5=.), gen(r_aidimp)
(453 differences between aidimp and r_aidimp)

. 
. recode know (1=3) (2=2) (3=1), gen(r_know)
(263 differences between know and r_know)

. 
. recode demworks (1=4) (2=3) (3=2) (4=1), gen(r_demworks)
(458 differences between demworks and r_demworks)

. 
. recode ang (1=5) (2=4) (3=3) (4=2) (5=1), gen(r_ang)
(355 differences between ang and r_ang)

. 
. * Set Survey Weights
. 
. svyset [pweight=weight], strata(EventNumber)

      pweight: weight
          VCE: linearized
  Single unit: missing
     Strata 1: EventNumber
         SU 1: <observations>
        FPC 1: <zero>

. 
. * Sample Sizes 
. 
. sum CaseID blm if EventNumber == 12

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      CaseID |        210    2.02e+09    273.8092   2.02e+09   2.02e+09
         blm |        191    .5078534    .5012522          0          1

. sum CaseID blm if EventNumber == 13

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      CaseID |        170    2.02e+09    172.2709   2.02e+09   2.02e+09
         blm |        152    .6907895     .463696          0          1

. sum CaseID blm if EventNumber == 14

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      CaseID |         55    2.02e+09    110.5047   2.02e+09   2.02e+09
         blm |         51    .5294118    .5041008          0          1

. sum CaseID blm if EventNumber == 15

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      CaseID |          4    2.02e+09    1.290994   2.02e+09   2.02e+09
         blm |          4           1           0          1          1

. sum CaseID blm if EventNumber == 16

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
      CaseID |         54    2.02e+09    118.9159   2.02e+09   2.02e+09
         blm |         46    .4347826    .5012063          0          1

. 
. *** Main Analysis
. 
. * Impute missing values
. 
. impute blm rblack rlatino rasian rother female age_numeric educ income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_blm)
  9.94% (49) observations imputed

. replace j_blm = 0 if j_blm < 0 
(0 real changes made)

. replace j_blm = 1 if j_blm > 1 
(0 real changes made)

. impute rblack blm rlatino rasian rother female age_numeric educ income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_rblack)
  8.72% (43) observations imputed

. replace j_rblack = 0 if j_rblack < 0
(0 real changes made)

. replace j_rblack = 1 if j_rblack > 1
(0 real changes made)

. impute rlatino blm rblack rasian rother female age_numeric educ income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_rlatino)
  8.72% (43) observations imputed

. replace j_rlatino = 0 if j_rlatino < 0
(1 real change made)

. replace j_rlatino = 1 if j_rlatino > 1
(0 real changes made)

. impute rasian blm rblack rlatino rother female age_numeric educ income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_rasian)
  8.72% (43) observations imputed

. replace j_rasian = 0 if j_rasian < 0
(0 real changes made)

. replace j_rasian = 1 if j_rasian > 1
(0 real changes made)

. impute rother blm rblack rlatino rasian female age_numeric educ income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_rother)
  8.72% (43) observations imputed

. replace j_rother = 0 if j_rother < 0
(2 real changes made)

. replace j_rother = 1 if j_rother > 1
(0 real changes made)

. impute female blm rblack rlatino rasian rother age_numeric educ income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_female)
 10.14% (50) observations imputed

. replace j_female = 0 if j_female < 0
(0 real changes made)

. replace j_female = 1 if j_female > 1
(1 real change made)

. impute age_numeric blm rblack rlatino rasian rother female educ income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_age_numeric)
 10.75% (53) observations imputed

. replace j_age_numeric = 0 if j_age_numeric < 0 
(0 real changes made)

. impute educ rblack blm rlatino rasian rother female age_numeric income logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_educ)
  9.74% (48) observations imputed

. replace j_educ = 1 if j_educ < 1 
(0 real changes made)

. replace j_educ = 6 if j_educ > 6 
(0 real changes made)

. impute income rblack blm rlatino rasian rother female age_numeric educ logdistance r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_income)
 14.40% (71) observations imputed

. replace j_income = 0 if j_income < 0
(0 real changes made)

. impute logdistance blm rblack rlatino rasian rother female age_numeric educ income r_ideo pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_logdistance)
 13.18% (65) observations imputed

. replace j_logdistance = 0 if j_logdistance < 0
(0 real changes made)

. impute r_ideo rblack blm rlatino rasian rother female age_numeric educ income logdistance pid_folded member r_aidimp r_know Conservative_Event Month, gen(
> j_r_ideo)
 15.42% (76) observations imputed

. replace j_r_ideo = 1 if j_r_ideo < 1
(0 real changes made)

. replace j_r_ideo = 9 if j_r_ideo > 9
(1 real change made)

. impute pid_folded blm rblack rlatino rasian rother female age_numeric educ income logdistance r_ideo member r_aidimp r_know Conservative_Event Month, gen(
> j_pid_folded)
 22.52% (111) observations imputed

. replace j_pid_folded = 0 if j_pid_folded < 0 
(0 real changes made)

. replace j_pid_folded = 3 if j_pid_folded > 3 
(0 real changes made)

. impute member blm rblack rlatino rasian rother female age_numeric educ income logdistance r_ideo pid_folded r_aidimp r_know Conservative_Event Month, gen(
> j_member)
  9.13% (45) observations imputed

. replace j_member = 1 if j_member > 1 
(0 real changes made)

. replace j_member = 0 if j_member < 0 
(0 real changes made)

. impute r_aidimp blm rblack rlatino rasian rother female age_numeric educ income logdistance r_ideo pid_folded member r_know Conservative_Event Month, gen(
> j_r_aidimp)
 10.14% (50) observations imputed

. replace j_r_aidimp = 1 if j_r_aidimp < 1 
(0 real changes made)

. replace j_r_aidimp = 4 if j_r_aidimp > 4 
(0 real changes made)

. impute r_know blm rblack rlatino rasian rother female age_numeric educ income logdistance r_ideo pid_folded member r_aidimp Conservative_Event Month, gen(
> j_r_know)
 10.55% (52) observations imputed

. replace j_r_know = 1 if j_r_know < 1 
(0 real changes made)

. replace j_r_know = 3 if j_r_know > 3 
(0 real changes made)

. 
. * Table 4, Model 1: Comparing activists at MFRJ in DC versus those not in DC who attended MFRJ events
. 
. svy: mean socialmedia
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       5        Number of obs   =        460
Number of PSUs   =     460        Population size = 465.629674
                                  Design df       =        455

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
 socialmedia |   4.890752   .1243904      4.646301    5.135203
--------------------------------------------------------------

. svy: mean r_demworks
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       5        Number of obs   =        458
Number of PSUs   =     458        Population size = 463.621432
                                  Design df       =        453

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
  r_demworks |   1.991157   .0343747      1.923603     2.05871
--------------------------------------------------------------

. svy: mean violencejust
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       5        Number of obs   =        442
Number of PSUs   =     442        Population size = 447.593959
                                  Design df       =        437

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
violencejust |   1.765236   .0492284      1.668482    1.861989
--------------------------------------------------------------

. svy: mean r_ang
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       5        Number of obs   =        412
Number of PSUs   =     412        Population size =  417.34286
                                  Design df       =        407

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       r_ang |   4.253506   .0431882      4.168606    4.338406
--------------------------------------------------------------

. 
. sum socialmedia r_demworks violencejust r_ang

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
 socialmedia |        460    4.891304    2.677496          0          7
  r_demworks |        458    1.989083    .7498292          1          4
violencejust |        442    1.769231    1.041608          1          5
       r_ang |        412    4.259709    .8729668          1          5

. 
. svy: oprobit socialmedia Washington_DC j_rblack j_rlatin j_rasian j_rother j_female j_age_numeric j_educ j_income j_logdistance /*
>         */ j_r_ideo j_pid_folded j_member j_r_aidimp j_r_know
(running oprobit on estimation sample)

Survey: Ordered probit regression

Number of strata   =         5                  Number of obs     =        460
Number of PSUs     =       460                  Population size   = 465.629674
                                                Design df         =        455
                                                F(  15,    441)   =       2.32
                                                Prob > F          =     0.0035

-------------------------------------------------------------------------------
              |             Linearized
  socialmedia |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
Washington_DC |    .093311   .1172369     0.80   0.426    -.1370819    .3237038
     j_rblack |   -.464612   .1593595    -2.92   0.004    -.7777839   -.1514401
    j_rlatino |   -.187826   .2006431    -0.94   0.350    -.5821282    .2064762
     j_rasian |   .1970922   .2183726     0.90   0.367    -.2320518    .6262362
     j_rother |  -.3694765   .1889425    -1.96   0.051    -.7407846    .0018316
     j_female |   .0322696   .1173695     0.27   0.783     -.198384    .2629231
j_age_numeric |  -.0067824   .0042752    -1.59   0.113     -.015184    .0016191
       j_educ |   .0154054   .0484439     0.32   0.751    -.0797961     .110607
     j_income |  -.0008298   .0007238    -1.15   0.252    -.0022522    .0005926
j_logdistance |   .0082654   .0354922     0.23   0.816    -.0614835    .0780143
     j_r_ideo |   .0593456   .0578125     1.03   0.305    -.0542671    .1729582
 j_pid_folded |  -.0148578    .058138    -0.26   0.798    -.1291101    .0993946
     j_member |   .0853151    .116361     0.73   0.464    -.1433566    .3139868
   j_r_aidimp |   .1644275   .0782745     2.10   0.036     .0106032    .3182518
     j_r_know |   .0127846    .085247     0.15   0.881    -.1547421    .1803113
--------------+----------------------------------------------------------------
        /cut1 |  -.3521068   .4933607                     -1.321655    .6174413
        /cut2 |  -.1585521    .491897                     -1.125224    .8081197
        /cut3 |  -.0459808   .4940272                     -1.016839    .9248772
        /cut4 |   .0698855   .4952709                     -.9034166    1.043188
        /cut5 |   .2640859   .4971744                     -.7129569    1.241129
        /cut6 |   .5050522   .4976548                     -.4729349    1.483039
        /cut7 |   .7431251    .498653                     -.2368235    1.723074
-------------------------------------------------------------------------------

.         
. svy: oprobit r_demworks Washington_DC j_rblack j_rlatino j_rasian j_rother j_female j_age_numeric j_educ j_income j_logdistance /*
>         */ j_r_ideo j_pid_folded j_member j_r_aidimp j_r_know 
(running oprobit on estimation sample)

Survey: Ordered probit regression

Number of strata   =         5                  Number of obs     =        458
Number of PSUs     =       458                  Population size   = 463.621432
                                                Design df         =        453
                                                F(  15,    439)   =       3.95
                                                Prob > F          =     0.0000

-------------------------------------------------------------------------------
              |             Linearized
   r_demworks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
Washington_DC |   .2523218   .1152799     2.19   0.029     .0257721    .4788716
     j_rblack |    .022242   .1642404     0.14   0.892    -.3005257    .3450097
    j_rlatino |  -.0873738   .1961799    -0.45   0.656    -.4729095    .2981618
     j_rasian |  -.0439918   .1921764    -0.23   0.819    -.4216597    .3336761
     j_rother |  -.3193245    .199798    -1.60   0.111    -.7119705    .0733215
     j_female |   .1858397   .1182191     1.57   0.117    -.0464863    .4181656
j_age_numeric |   .0051943   .0040075     1.30   0.196    -.0026814    .0130699
       j_educ |   .0409633   .0482872     0.85   0.397    -.0539315    .1358581
     j_income |  -.0005107   .0007326    -0.70   0.486    -.0019505     .000929
j_logdistance |  -.0277127   .0352762    -0.79   0.433     -.097038    .0416126
     j_r_ideo |  -.2906171   .0615552    -4.72   0.000    -.4115863    -.169648
 j_pid_folded |   .1639784   .0582147     2.82   0.005     .0495741    .2783827
     j_member |     .11377   .1122821     1.01   0.311    -.1068883    .3344284
   j_r_aidimp |  -.1397092   .0786718    -1.78   0.076    -.2943161    .0148978
     j_r_know |  -.1000966   .0806618    -1.24   0.215    -.2586143     .058421
--------------+----------------------------------------------------------------
        /cut1 |  -2.722793   .5130327                     -3.731013   -1.714574
        /cut2 |  -1.149649   .4996354                      -2.13154   -.1677582
        /cut3 |   .1091097   .4978469                     -.8692662    1.087486
-------------------------------------------------------------------------------

.         
. svy: oprobit violencejust Washington_DC j_rblack j_rlatino j_rasian j_rother j_female j_age_numeric j_educ j_income j_logdistance /*
>         */ j_r_ideo j_pid_folded j_member j_r_aidimp j_r_know
(running oprobit on estimation sample)

Survey: Ordered probit regression

Number of strata   =         5                  Number of obs     =        442
Number of PSUs     =       442                  Population size   = 447.593959
                                                Design df         =        437
                                                F(  15,    423)   =       4.43
                                                Prob > F          =     0.0000

-------------------------------------------------------------------------------
              |             Linearized
 violencejust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
Washington_DC |  -.2171264   .1249625    -1.74   0.083    -.4627286    .0284758
     j_rblack |   .6938298   .1650613     4.20   0.000     .3694172    1.018242
    j_rlatino |   .1081795   .2603772     0.42   0.678    -.4035677    .6199267
     j_rasian |   .6142236   .2099902     2.93   0.004     .2015073     1.02694
     j_rother |   .0108617   .2351585     0.05   0.963    -.4513205    .4730439
     j_female |  -.1744456   .1248208    -1.40   0.163    -.4197693     .070878
j_age_numeric |  -.0097779   .0047608    -2.05   0.041    -.0191347    -.000421
       j_educ |  -.0630222   .0501276    -1.26   0.209    -.1615433    .0354989
     j_income |  -.0007671   .0007631    -1.01   0.315     -.002267    .0007328
j_logdistance |   .0074695   .0341809     0.22   0.827    -.0597098    .0746488
     j_r_ideo |   .2562183   .0711947     3.60   0.000     .1162918    .3961449
 j_pid_folded |  -.0668227   .0558486    -1.20   0.232     -.176588    .0429426
     j_member |    .155628   .1299557     1.20   0.232    -.0997879    .4110439
   j_r_aidimp |   .1165429   .0854834     1.36   0.173    -.0514669    .2845527
     j_r_know |    .176302   .0885781     1.99   0.047     .0022101     .350394
--------------+----------------------------------------------------------------
        /cut1 |   1.961238   .6161989                      .7501565     3.17232
        /cut2 |   2.682576    .616357                      1.471183    3.893968
        /cut3 |   3.554047   .6229949                      2.329608    4.778486
        /cut4 |   3.884641   .6332562                      2.640035    5.129248
-------------------------------------------------------------------------------

.         
. svy: oprobit r_ang Washington_DC j_rblack j_rlatino j_rasian j_rother j_female j_age_numeric j_educ j_income j_logdistance /*
>         */ j_r_ideo j_pid_folded j_member j_r_aidimp j_r_know
(running oprobit on estimation sample)

Survey: Ordered probit regression

Number of strata   =         5                  Number of obs     =        412
Number of PSUs     =       412                  Population size   =  417.34286
                                                Design df         =        407
                                                F(  15,    393)   =       3.69
                                                Prob > F          =     0.0000

-------------------------------------------------------------------------------
              |             Linearized
        r_ang |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
Washington_DC |  -.0481112   .1237966    -0.39   0.698    -.2914718    .1952494
     j_rblack |  -.1314466   .1682562    -0.78   0.435    -.4622063    .1993131
    j_rlatino |   -.262214   .2590235    -1.01   0.312    -.7714049    .2469768
     j_rasian |  -.1559003   .2201888    -0.71   0.479    -.5887496    .2769489
     j_rother |   .4446823   .2462365     1.81   0.072    -.0393718    .9287363
     j_female |   .2371171   .1241276     1.91   0.057    -.0068941    .4811283
j_age_numeric |  -.0004084   .0046282    -0.09   0.930    -.0095066    .0086898
       j_educ |   .0175911   .0554204     0.32   0.751    -.0913549    .1265371
     j_income |  -.0001636   .0009227    -0.18   0.859    -.0019775    .0016502
j_logdistance |  -.0353265   .0356751    -0.99   0.323    -.1054571     .034804
     j_r_ideo |   .1798968   .0542437     3.32   0.001      .073264    .2865297
 j_pid_folded |   .1015105   .0590776     1.72   0.087    -.0146248    .2176459
     j_member |  -.1263989   .1233951    -1.02   0.306    -.3689702    .1161725
   j_r_aidimp |   .2200332   .0884606     2.49   0.013     .0461365    .3939298
     j_r_know |   .1312512   .0880235     1.49   0.137    -.0417863    .3042887
--------------+----------------------------------------------------------------
        /cut1 |  -.0021997   .4529063                     -.8925273    .8881279
        /cut2 |   .5497598   .4475107                      -.329961    1.429481
        /cut3 |   1.527659   .4487621                      .6454778     2.40984
        /cut4 |   2.608178   .4555568                      1.712641    3.503716
-------------------------------------------------------------------------------

. 
. log close
      name:  <unnamed>
       log:  C:\Users\micha\OneDrive\Documents\Heaney_MFRJ_Code2022-04-14.log
  log type:  text
 closed on:  14 Apr 2022, 22:53:30
------------------------------------------------------------------------------------------------------------------------------------------------------------
